About Intercom Mcp Server
Intercom Mcp Server is a hosted MCP server for AI agents working with Intercom support data and conversations. It provides seven tools for contact lookup and updates, conversation handling, and contact notes.
Key features
- 01Search contacts and conversations
- 02Create or update contacts
- 03Reply with a customer message or internal note
- 04Assign or close conversations
- 05Add notes to contact profiles
Use cases
- 01Find contacts by email, name, or phone
- 02Route conversations to an admin or team
- 03Resolve and close open conversations
- 04Record internal notes on contact profiles
MCP support
The server uses the official `@modelcontextprotocol/sdk` and exposes seven Intercom support workflow tools to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEIntercom MCP Server
A hosted MCP server that gives AI agents full access to Intercom's core support workflows-search contacts, manage conversations, reply, assign, close tickets, and log notes.
Built on the Model Context Protocol using the official @modelcontextprotocol/sdk.
Tools
| Tool | What it does |
|---|---|
search_contacts | Find a contact by email, name, or phone |
create_or_update_contact | Create a new contact or update an existing one |
search_conversations | Filter conversations by status, contact, or assignee |
reply_to_conversation | Send a customer reply or internal note |
close_conversation | Resolve and close an open conversation |
assign_conversation | Route a conversation to an admin or team |
create_contact_note | Add an internal audit note to a contact's profile |
Quickstart
1. Get your Intercom API token
- Go to app.intercom.com
- Navigate to Settings → Developer Hub → Your App → Authentication
- Copy your Access Token
For testing, create a free developer workspace at app.intercom.com/developers — no paid plan required.
2. Clone and install
git clone https://github.com/your-username/intercom-mcp-server.git
cd intercom-mcp-server
npm install
3. Set your environment variable
cp .env.example .env
Open .env and add your token:
INTERCOM_API_TOKEN=your_token_here
4. Connect to Claude Desktop
Add this to your Claude Desktop config file:
Mac: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"intercom": {
"command": "node",
"args": ["/absolute/path/to/intercom-mcp-server/index.js"],
"env": {
"INTERCOM_API_TOKEN": "your_token_here"
}
}
}
}
Restart Claude Desktop. You should see the Intercom tools available.
5. Test with the MCP Inspector
npx @modelcontextprotocol/inspector node index.js
This opens a browser UI at http://localhost:5173 where you can call each tool manually and inspect responses.
Deployment on Railway
- Push this repo to GitHub (private repo is fine)
- Create a new project at railway.app
- Connect your GitHub repo — Railway auto-detects Node.js
- Add environment variable:
INTERCOM_API_TOKEN = your_token - Deploy — Railway gives you a public URL
Environment Variables
| Variable | Required | Description |
|---|---|---|
INTERCOM_API_TOKEN | Yes | Your Intercom Bearer token |
Requirements
- Node.js 18 or higher
- An Intercom account (free developer workspace works for testing)
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.